Semi-Markov and reward fields

被引:1
|
作者
Soltani, A. R. [1 ,2 ]
Ghasemi, H. [3 ]
机构
[1] Kuwait Univ, Coll Sci, Dept Stat & Operat Res, Kuwait, Kuwait
[2] Shiraz Univ, Coll Sci, Dept Stat, Shiraz, Iran
[3] Amirkabir Univ, Fac Math & Comp Sci, Tehran, Iran
关键词
Markov renewal fields; Markov renewal sequences; Semi Markov fields; Reward fields; Expected reward fields;
D O I
10.1016/j.spl.2014.08.012
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We introduce semi-Markov fields and provide formulations for the basic terms in the semi-Markov theory. In particular we define and consider a class of associated reward fields. Then we present a formula for the expected reward at any multidimensional time epoch. The formula is indeed new even for the classical semi-Markov processes. It gives the expected cumulative reward for fairly large classes of reward functions; in particular, it provides the formulas for the expected cumulative reward given in Masuda and Sumitau (1991), Soltani (1996) and Soltani and Khorshidian (1998). (C) 2014 Elsevier B.V. All rights reserved.
引用
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页码:71 / 76
页数:6
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